Strategies For Aggregate Planning To Illustrate Some Of The

13 3 Strategies For Aggregate Planningto Illustrate Some Of The Major

Aggregate planning is a critical aspect of operations management that involves determining the overall production plan to meet fluctuating demand over a specific period, typically ranging from three to twelve months. It aims to balance demand and supply efficiently, minimizing costs related to inventory, stockouts, labor, and equipment utilization. The case of Golden Beverages, a producer of Old Fashioned and Foamy Delite root beers, exemplifies the complexities and strategies in aggregate planning amidst seasonal demand variations.

Golden Beverages faces significant demand fluctuations for its products over the year, with peaks during summer and holiday seasons, which complicate the process of creating an optimal production plan. The company's production capacity is 2,200 barrels per month, with an initial inventory of 1,000 barrels. The challenge is to develop an aggregate plan that smooths production while meeting fluctuating demand without excessive inventory buildup or stockouts. The company considers two primary aggregate planning strategies: level production and chase demand.

Level Production Strategy

The level production strategy maintains a consistent production rate throughout the planning period, aligning with the company's normal capacity of 2,200 barrels per month. According to the example shown in the case, this approach involves producing at a steady rate regardless of seasonal demand differences, resulting in predictable work schedules and stable employment levels. For Golden Beverages, this approach simplifies labor and equipment scheduling, which is particularly advantageous for companies seeking operational stability and cost predictability.

However, the key disadvantage of the level production approach is the potential accumulation of excess inventory during months of low demand and shortages during peak months. For instance, in March, inventory peaks at 3,200 barrels, increasing holding costs, while August experiences a shortfall of 500 barrels, leading to lost sales and customer dissatisfaction. This fluctuation in inventory levels presents a tradeoff: constant production simplifies operations but can lead to high inventory costs and service issues during demand peaks.

Chase Demand Strategy

The chase demand strategy responds directly to fluctuations in customer demand by adjusting production rates each month to match the forecasted demand precisely. This approach eliminates or significantly reduces inventory carrying costs and the risk of stockouts. In the Golden Beverages example, implementing chase demand involves varying the production rate each month to cover demand, as shown in the case study's accompanying data.

While this strategy effectively prevents excess inventory and service interruptions, it introduces significant operational challenges. Rapidly changing production rates demands flexible workforce management, including hiring, layoffs, overtime, and undertime. These adjustments incur additional costs, such as overtime payments and hiring or firing expenses, which are reflected in the total cost differences between strategies. The case highlights that the chase demand strategy results in a total cost of $1,835,050, which is less costly than the steady level production cost of $1,920,440 by approximately $85,390. Nonetheless, frequent changes in production rates can negatively impact workforce morale and equipment utilization.

Comparison and Decision-Making

Choosing between level production and chase demand strategies involves evaluating tradeoffs among costs, operational flexibility, and customer service levels. Level production offers stability and predictable costs but risks high inventory costs and service issues during demand fluctuations. Conversely, chase demand can minimize inventory costs but requires a flexible workforce and incurs changeover costs.

Strategic considerations include the company's capacity to adapt workforce levels, the importance of customer service, and cost structures associated with inventory, labor, and equipment. Some companies may adopt hybrid approaches, adjusting production tactically within a predominantly stable schedule, utilizing overtime or subcontracting to handle peaks without disrupting the overall plan.

Conclusion

Effective aggregate planning requires a comprehensive understanding of demand patterns, capacity constraints, and cost implications. The case of Golden Beverages exemplifies how different strategies can be tailored to operational realities and business objectives. Ultimately, the optimal approach depends on balancing cost efficiency, operational flexibility, and customer satisfaction, often leading companies to blend strategies and incorporate advanced forecasting and scheduling techniques for most effective planning.

References

• Heizer, J., Render, B., & Munson, C. (2017). Operations Management (12th Edition). Pearson.
• Slack, N., Brandon-Jones, A., & Burgess, N. (2019). Operations Management (9th Edition). Pearson.
• Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2006). Operations Management for Competitive Advantage (11th Edition). McGraw-Hill Education.
• Wild, T. (2017). Principles of Operations Management (7th Edition). Routledge.
• Stevenson, W. J. (2018). Operations Management (13th Edition). McGraw-Hill Education.
• Nahmias, S. (2013). Production and Operations Analysis (6th Edition). Waveland Press.
• Vollmann, T. E., Berry, W. L., Whybark, D. C., & Jacobs, F. R. (1997). Manufacturing Planning and Control Systems (4th Edition). McGraw-Hill.
• Heil, P., & Robertson, D. (2011). Operations Management: A Supply Chain Approach. Routledge.
• Jacobs, F. R., Chase, R. B., & Lummus, R. R. (2018). Operations and Supply Chain Management (15th Edition). McGraw-Hill Education.
• Everett, M. (2017). Principles of Supply Chain Management. CreateSpace Independent Publishing Platform.